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Postdoc in "Navigating uncertainty: Planning marine protected areas in a changing Southern Ocean"...
conditions are particularly vulnerable, as their habitats with optimal environmental conditions become increasingly scarce. All in all, these ongoing changes highlight the urgent need to rethink the management
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on the recently published DeepRVAT framework, which leverages advances in machine learning to learn an optimal rare variant aggregation function in a data-driven manner. You will have the opportunity to spend
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and function of matter, from the smallest particles of the universe to the building blocks of life. In this way, DESY contributes to solving the major questions and urgent challenges facing science
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of robotics Solid mathematical foundation paired with practical robotics experience Strong programming skills in (at least one of) Python/C++ Familiarity with robotics frameworks like ROS; optimization-based
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this model with experimental data, you will uncover how RNA-binding proteins “read” this tag to determine the mRNA’s fate. This exciting work connects molecular biology and mathematical modeling, and helps
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optimization and validation and in addition, we aim to discover novel VHHs capable of crossing the blood-CSF barrier and delivering therapeutic cargoes to the brain. You will become an integral member of a
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genomics, virtual cell models Graph-based neural networks, optimal transport Biomedical imaging, deep learning, virtual reality, AI-driven image analysis Agentic systems, large language models Generative AI
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genetic data beyond human perception, transforming how we identify and understand the function of lncRNAs across diverse plant species. The postdoctoral scholarship holder will have the opportunity to gain
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learning paradigms as well as interactive data- and model exploration with domain knowledge towards optimal performance in real-world generalization scenarios. AqQua is a large-scale collaborative research